Independent component analysis: recent advances

DOI10.1098/rsta.2011.0534zbMath1353.62066OpenAlexW1976137296WikidataQ42136690 ScholiaQ42136690MaRDI QIDQ2955464

Aapo Hyvärinen

Publication date: 13 January 2017

Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1098/rsta.2011.0534

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

Related Items (13)

Cluster-based reduced-order modelling of a mixing layer ⋮ Directed acyclic graph based information shares for price discovery ⋮ Unnamed Item ⋮ Data-Mining Homogeneous Subgroups in Multiple Regression When Heteroscedasticity, Multicollinearity, and Missing Variables Confound Predictor Effects ⋮ Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets ⋮ Quantifying identifiability in independent component analysis ⋮ Discrete mixtures of normals pseudo maximum likelihood estimators of structural vector autoregressions ⋮ Time series estimation of the dynamic effects of disaster-type shocks ⋮ Nonlinear independent component analysis for discrete-time and continuous-time signals ⋮ Independent component analysis of instantaneous power-based fMRI ⋮ Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification ⋮ Identification of structural VAR models via independent component analysis: a performance evaluation study ⋮ The independent component analysis with the linear regression – predicting the energy costs of the public sector buildings in Croatia

Cites Work

• Unnamed Item
• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Blind separation of sources that have spatiotemporal variance dependencies
• A unifying model for blind separation of independent sources
• Independent component analysis, a new concept?
• Blind Source Separation by Sparse Decomposition in a Signal Dictionary
• Complexity Pursuit: Separating Interesting Components from Time Series
• Topographic Independent Component Analysis
• Reducing the Dimensionality of Data with Neural Networks
• Training Products of Experts by Minimizing Contrastive Divergence
• A Two-Layer Model of Natural Stimuli Estimated with Score Matching
• Scale Mixing of Symmetric Distributions with Zero Means
• An Adaptive Method for Subband Decomposition ICA
• Complex random vectors and ICA models: identifiability, uniqueness, and separability
• Indeterminacy and identifiability of blind identification
• Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
• Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer
• Blind separation of instantaneous mixtures of nonstationary sources
• Learning the parts of objects by non-negative matrix factorization
• Topographic Product Models Applied to Natural Scene Statistics
• A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals

This page was built for publication: Independent component analysis: recent advances